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Purpose: To develop an algorithm for the diagnosis of Behçet's disease (BD) uveitis based on ocular findings. Methods: Following an initial survey among uveitis experts, we collected multi-center retrospective data on 211 patients with BD uveitis and 207 patients with other uveitides, and identified ocular findings with a high diagnostic odds ratio (DOR). Subsequently, we collected multi-center prospective data on 127 patients with BD uveitis and 322 controls and developed a diagnostic algorithm using Classification and Regression Tree (CART) analysis and expert opinion. Results: We identified 10 items with DOR >5. The items that provided the highest accuracy in CART analysis included superficial retinal infiltrate, signs of occlusive retinal vasculitis, and diffuse retinal capillary leakage as well as the absence of granulomatous anterior uveitis or choroiditis in patients with vitritis. Conclusion: This study provides a diagnostic tree for BD uveitis that needs to be validated in future studies. [ABSTRACT FROM AUTHOR]

The article discusses the ocular manifestations of Behçet's disease (BD). The disease was first described in 1937 by Hulusi Behçet as a chronic multisystem disorder characterized by recurrent episodes of uveitis, oral aphthous lesions, genital ulcers and skin lesions, with underlying vasculitis. Ocular manifestations are usually reported in 70 to 95% of cases of the disease. Anterior uveitis is commonly observed in females while panuveitis is common among males.